The Kafka UI tool built for the enterprise

Kpow is a single UI for Apache Kafka that lets your team search, inspect, manage, and govern every cluster, with no extra infrastructure to maintain, no vendor lock-in, and no command-line workarounds.

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PROBLEM

Your Kafka environment has grown, the way you operate it didn't.

Even when the cluster is healthy and the pods are green, your team is often still:

01

Chasing consumer lag with CLI commands that show a single moment in time

02

Routing every ACL change and access request through the one person who knows how

03

Writing throwaway consumer scripts just to inspect what's in a topic

04

Stitching together dashboards, logs, and manual exports to answer basic questions

05

Trying to maintain consistent governance across teams without confidence that it's working

Solution

A single UI for Apache Kafka in production.

Observe

See the state of your Kafka environment immediately, without running a series of CLI commands.

Real-time cluster health, broker sync state, and under-replicated partition detection without touching the CLI

Consumer lag broken down by group, topic, partition, host, and broker simultaneously, so you can see where lag is concentrated and why

Kafka Streams topology with live metrics at every stage of your streaming applications

Prometheus metrics export to feed your existing Grafana, Datadog, or alerting stack with Kafka-specific telemetry

Deep dive into Observe
Line chart titled Broker producer (mts/s) showing fluctuating data in three colored lines over the last hour, with a note on displaying only broker with live producers.
User interface of Kpow software showing a Data inspect tab with a KLU filter for trade status, price, partner network, and ID ending criteria, and a blue Search button.

Inspect

Find any message across one or many topics without writing a consumer script.

kJQ filtering across single or multiple topics simultaneously, scanning tens of thousands of messages in seconds

Schema-aware deserialisation for Avro, Protobuf, and JSON Schema, presenting structured readable data for inspection rather than raw bytes

Bring your own AI model: describe what you're looking for in plain English, and Kpow generates the kJQ filter automatically

Streaming search to watch for matching messages in real time during a deployment or incident

Deep dive into Inspect

Manage

Give your team the ability to act on Kafka directly, without routing every change through one person.

Topic lifecycle management including create, configure, copy, and delete without CLI access or a ticket queue

Consumer group and offset management including reset, skip, and advance with a full audit trail of every change

Connector, Schema Registry, and ksqlDB management from a single interface across all your environments

Staged approval workflows that require sign-off before sensitive operations execute

Deep dive into Manage
Menu with options like View group, View topology, and Reset offset next to a table of Kafka topics, partitions, and offsets.

Govern

Enterprise access control and compliance without adding infrastructure.

Role-based access control at global and resource level, with multi-tenancy isolation between teams

Data masking policies for PII including credit card numbers, account identifiers, and health data enforced at the tooling layer

SSO integration with Okta, Azure AD, KeyCloak, and any LDAP, SAML, or OAuth2 provider

Complete audit log of every action across every cluster, available via UI, webhook, or internal Kafka topic

Deep dive into Govern
Outcomes

The operational impact of a Kafka UI tool

1

Debugging time cut in half

Real-time cluster visibility and message-level search replace hours of CLI investigation with minutes.

2

Up to 90% faster event investigation

kJQ filtering and multi-topic search get engineers from question to answer without writing consumer scripts.

3

Fewer production incidents from bad data

Schema validation catches malformed messages before they reach your topics or crash your consumers.

4

Scaling to thousands of engineers

Self-service workflows mean platform teams stop being the bottleneck for routine Kafka operations.

Deployment

A Kafka GUI tool compatible with every distribution your team operates.

Most teams operate more than one Kafka distribution across multiple environments. Kpow works across all of them from a single interface, without requiring changes to your existing setup.

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01
Stateless by design

Kpow has no external database, no proxy layer, and no additional infrastructure to maintain. It connects directly to your Kafka cluster and runs as a single container via Docker, Kubernetes, or JAR.

01
Deploys in minutes

One container and one configuration file are enough to have Kpow running in your environment within minutes. Because it's stateless, there's nothing to migrate when you upgrade or move clusters.

01
Air-gap capable

Kpow runs fully offline, with no data leaving your environment. For teams with strict network security requirements or regulatory constraints, it works the same way inside an air-gapped network as it does anywhere else.

01
Per-cluster pricing

Kpow is priced per cluster rather than per user or per seat. You pay for the clusters you connect, so your costs stay flat as your engineering team grows.

Customers

Results from teams using Kpow in production

Kpow is in production across teams of all sizes, from engineering teams running a single cluster to enterprises managing hundreds of clusters and hundreds of thousands of partitions.

Erik Schumann
Product Owner Data Quality Platform, NORD/LB
"The number of incidents related to poor Kafka schemas has decreased. Kpow always fetches and serialises the schema correctly, so bad data that would previously make it into topics gets caught earlier."
Erik Schumann
Product Owner Data Quality Platform, NORD/LB
Claritev testimonial image
Dave Gale
Manager, Middleware, Claritev
"We went into Kpow and could see the brokers were out of sync, one of four wasn't running. Kubernetes said every pod was fine. Prometheus showed no alerts. We could not get that from Rancher Kubernetes at all."
David Gale
Manager, Middleware, Claritev
Yubin Kim
Engineer, Gmarket
"Features such as reassignment, offset resets, topic operations, and consumer state monitoring are all available through the UI, which enables even non-Kafka engineers to perform operational tasks easily and efficiently."
Yubin Kim
Engineer, Gmarket

See what Kpow does for your team

Start with the free version and have Kpow running in your environment in minutes via Docker, Kubernetes, or JAR. If you're evaluating Kpow at scale, get in touch and we'll walk through how it fits your environment.